Causality and information transfer are not exactly the same. Causality is typically related to whether interventions on a source have an effect on the target. Information transfer measures how observations of the source can predict transitions of the target. Causal information flow describes the causal structure of a system, whereas information transfer can then be used to describe the emergent computation on that causal structure [1]}.
